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The knowledge platform for the financial technology industry

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Clarity AI, CDP to Jointly Build Sustainability Tech Tools

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Clarity AI and CDP are to jointly develop new technology products to help financial institutions to gauge their environmental impact. London-based Clarity AI, a sustainability technology platform, will use data from CDP in its Net Zero tool and will calculate the disclosure body’s Climetrics database for ETFs and funds.

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Related content

WEBINAR

Recorded Webinar: Strategies and solutions for unlocking value from unstructured data

Unstructured data accounts for a growing proportion of the information that capital markets participants are using in their day-to-day operations. Technology – especially generative artificial intelligence (GenAI) – is enabling organisations to prise crucial insights from sources – such as social media posts, news articles and sustainability and company reports – that were all but...

BLOG

Ensuring Data Integrity in Finance – A Foundation for Efficiency and Trust

By Neil Sandle, director of product management at Gresham. In today’s financial landscape, data integrity is more than a regulatory requirement — it is the backbone of efficient operations and trustworthy decision making. Ensuring that data remains accurate, consistent, and reliable throughout its lifecycle is essential for financial institutions looking to maintain operational excellence, manage...

EVENT

AI in Capital Markets Summit New York

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...